Index of carbon stocks in forests, Index in Tanzania

Tanzania: Index of carbon stocks in forests, Index was 78.27 in 2023. ▼ Falling

Latest (2023)
78.27
Change on year
down 1.0%
World rank
175th
of 196 countries
All-time high
100
in 1992
All-time low
78.27
in 2023
Years of data
32
1992–2023

Index of carbon stocks in forests, Index in Tanzania, 1992–2023

0204060801001992200720231992: 1001993: 99.31994: 98.71995: 981996: 97.41997: 96.71998: 96.11999: 95.42000: 94.72001: 94.12002: 93.42003: 92.82004: 92.12005: 91.52006: 90.82007: 90.12008: 89.52009: 88.82010: 88.22011: 87.52012: 86.92013: 86.22014: 85.62015: 84.92016: 84.12017: 83.22018: 82.42019: 81.62020: 80.82021: 79.92022: 79.12023: 78.3

Source: International Monetary Fund.

Analysis

In 2023, index of carbon stocks in forests, index in Tanzania stood at 78.27. That is the lowest value across all 32 years on record.

That represents a change of down 1.0% on the previous year and down 9.2% over ten years.

Over the whole period, index of carbon stocks in forests, index in Tanzania peaked at 100 in 1992 and was at its lowest, 78.27, in 2023.

That places Tanzania 175th out of 196 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently falling across the 32 years of available data.

Index of carbon stocks in forests, Index in Tanzania, year by year

Annual values for Index of carbon stocks in forests, Index (Not Applicable) in Tanzania, 1992 to 2023.
Year Value Change
1992 100
1993 99.34 -0.7%
1994 98.69 -0.7%
1995 98.03 -0.7%
1996 97.37 -0.7%
1997 96.72 -0.7%
1998 96.06 -0.7%
1999 95.4 -0.7%
2000 94.75 -0.7%
2001 94.09 -0.7%
2002 93.43 -0.7%
2003 92.78 -0.7%
2004 92.12 -0.7%
2005 91.46 -0.7%
2006 90.81 -0.7%
2007 90.15 -0.7%
2008 89.49 -0.7%
2009 88.84 -0.7%
2010 88.18 -0.7%
2011 87.52 -0.7%
2012 86.87 -0.8%
2013 86.21 -0.8%
2014 85.55 -0.8%
2015 84.9 -0.8%
2016 84.07 -1.0%
2017 83.24 -1.0%
2018 82.41 -1.0%
2019 81.58 -1.0%
2020 80.76 -1.0%
2021 79.93 -1.0%
2022 79.1 -1.0%
2023 78.27 -1.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 97.7 95.4 100 8
2000s 91.79 88.84 94.75 10
2010s 85.05 81.58 88.18 10
2020s 79.51 78.27 80.76 4

Countries ranked near Tanzania

  1. 172 Sierra Leone 80.19 compare
  2. 173 Antigua and Barbuda 79.44 compare
  3. 174 Belize 79.11 compare
  4. 176 Sudan 76.93 compare
  5. 177 Guatemala 74.85 compare
  6. 178 Ghana 74.66 compare

See the full ranking of 207 places →

More climate change data for Tanzania

All data for Tanzania →

Frequently asked questions

What is index of carbon stocks in forests, index in Tanzania?
Index of carbon stocks in forests, index in Tanzania was 78.27 in 2023, according to International Monetary Fund.
What is the highest index of carbon stocks in forests, index recorded in Tanzania?
The highest recorded value was 100 in 1992.
What is the lowest index of carbon stocks in forests, index recorded in Tanzania?
The lowest recorded value was 78.27 in 2023.
How does Tanzania rank for index of carbon stocks in forests, index?
Tanzania ranks 175th out of 196 countries with data for 2023.
Is index of carbon stocks in forests, index rising or falling in Tanzania?
Over the last ten years it is down 9.2%. The long-run trend across the full record is falling.
Where does this Tanzania data come from?
The figures come from International Monetary Fund, published as part of Index of carbon stocks in forests, Index (Not Applicable). Statizoid updates them automatically from the source API.

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Index of carbon stocks in forests, Index in Tanzania. Statizoid, drawing on International Monetary Fund. Retrieved 01 September 2026, from https://climate.statizoid.com/stat/index-of-carbon-stocks-in-forests-index-not-applicable/tanzania/

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About this data

Indicator
Index of carbon stocks in forests, Index (Not Applicable)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
207 places, 6,590 data points, 1992–2023
Last refreshed

This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.